Dataset Information

ISeq 2.0: A Modular and Interchangeable Toolkit for Interaction Screening in Yeast.

ABSTRACT: We developed a flexible toolkit for combinatorial screening in Saccharomyces cerevisiae, which generates large libraries of cells, each uniquely barcoded to mark a combination of DNA elements. This interaction sequencing platform (iSeq 2.0) includes genomic landing pads that assemble combinations through sequential integration of plasmids or yeast mating, 15 barcoded plasmid libraries containing split selectable markers (URA3AI, KanMXAI, HphMXAI, and NatMXAI), and an array of ?24,000 "double-barcoder" strains that can make existing yeast libraries iSeq compatible. Various DNA elements are compatible with iSeq: DNA introduced on integrating plasmids, engineered genomic modifications, or entire genetic backgrounds. DNA element libraries are modular and interchangeable, and any two libraries can be combined, making iSeq capable of performing many new combinatorial screens by short-read sequencing.

SUBMITTER: Liu X

PROVIDER: S-EPMC6483859 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Publications

iSeq 2.0: A Modular and Interchangeable Toolkit for Interaction Screening in Yeast.

Liu Xianan X Liu Zhimin Z Dziulko Adam K AK Li Fangfei F Miller Darach D Morabito Robert D RD Francois Danielle D Levy Sasha F SF

Cell systems 20190403 4

We developed a flexible toolkit for combinatorial screening in Saccharomyces cerevisiae, which generates large libraries of cells, each uniquely barcoded to mark a combination of DNA elements. This interaction sequencing platform (iSeq 2.0) includes genomic landing pads that assemble combinations through sequential integration of plasmids or yeast mating, 15 barcoded plasmid libraries containing split selectable markers (URA3AI, KanMXAI, HphMXAI, and NatMXAI ...[more]

PMID: 30954477

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Project description:Over the past decade, protein-protein interactions have emerged as attractive but challenging targets for therapeutic intervention using small molecules. Due to the relatively flat surfaces that typify protein interaction sites, modern virtual screening tools developed for optimal performance against "traditional" protein targets perform less well when applied instead at protein interaction sites. Previously, we described a docking method specifically catered to the shallow binding modes characteristic of small-molecule inhibitors of protein interaction sites. This method, called DARC (Docking Approach using Ray Casting), operates by comparing the topography of the protein surface when "viewed" from a vantage point inside the protein against the topography of a bound ligand when "viewed" from the same vantage point. Here, we present five key enhancements to DARC. First, we use multiple vantage points to more accurately determine protein-ligand surface complementarity. Second, we describe a new scheme for rapidly determining optimal weights in the DARC scoring function. Third, we incorporate sampling of ligand conformers "on-the-fly" during docking. Fourth, we move beyond simple shape complementarity and introduce a term in the scoring function to capture electrostatic complementarity. Finally, we adjust the control flow in our GPU implementation of DARC to achieve greater speedup of these calculations. At each step of this study, we evaluate the performance of DARC in a "pose recapitulation" experiment: predicting the binding mode of 25 inhibitors each solved in complex with its distinct target protein (a protein interaction site). Whereas the previous version of DARC docked only one of these inhibitors to within 2 Å RMSD of its position in the crystal structure, the newer version achieves this level of accuracy for 12 of the 25 complexes, corresponding to a statistically significant performance improvement (p < 0.001). Collectively then, we find that the five enhancements described here--which together make up DARC 2.0--lead to dramatically improved speed and performance relative to the original DARC method.

Project description:There is a need for the development of synthetic biology methods and tools to facilitate rapid and efficient engineering of yeast that accommodates the needs of specific biotechnology projects. In particular, the manipulation of the mitochondrial proteome has interesting potential applications due to its compartmentalized nature. One of these advantages resides in the fact that metalation occurs after protein import into mitochondria, which contains pools of iron, zinc, copper and manganese ions that can be utilized in recombinant metalloprotein metalation reactions. Another advantage is that mitochondria are suitable organelles to host oxygen sensitive proteins as a low oxygen environment is created within the matrix during cellular respiration.Here we describe the adaptation of a modular cloning system, GoldenBraid2.0, for the integration of assembled transcriptional units into two different sites of the yeast genome, yielding a high expression level. We have also generated a toolkit comprising various promoters, terminators and selection markers that facilitate the generation of multigenic constructs and allow the reconstruction of biosynthetic pathways within Saccharomyces cerevisiae. To facilitate the specific expression of recombinant proteins within the mitochondrial matrix, we have also included in the toolkit an array of mitochondrial targeting signals and tested their efficiency at different growth conditions. As a proof of concept, we show here the integration and expression of 14 bacterial nitrogen fixation (nif) genes, some of which are known to require specific metallocluster cofactors that contribute to their stability yet make these proteins highly sensitive to oxygen. For one of these genes, nifU, we show that optimal production of this protein is achieved through the use of the Su9 mitochondrial targeting pre-sequence and glycerol as a carbon source to sustain aerobic respiration.We present here an adapted GoldenBraid2.0 system for modular cloning, genome integration and expression of recombinant proteins in yeast. We have produced a toolkit that includes inducible and constitutive promoters, mitochondrial targeting signals, terminators and selection markers to guarantee versatility in the design of recombinant transcriptional units. By testing the efficiency of the system with nitrogenase Nif proteins and different mitochondrial targeting pre-sequences and growth conditions, we have paved the way for future studies addressing the expression of heterologous proteins in yeast mitochondria.

Dataset Information

ISeq 2.0: A Modular and Interchangeable Toolkit for Interaction Screening in Yeast.

Publications

iSeq 2.0: A Modular and Interchangeable Toolkit for Interaction Screening in Yeast.

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